Everyday AI Podcast – An AI and ChatGPT Podcast

The much-hyped Humane Ai pin? Dragged through the mud.
The Rabbit R1 AI assistant? Accused of being a box running Android.
Are these devices just too early? Or, do we really not need (or want) AI-powered devices following us everywhere? We'll weigh in with what you need to know.

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion:  Ask Jordan questions on AI-powered devices

Related Episodes:
Ep 201: Apple Vision Pro – The AI-powered product that (hardly) no one needs
EP 184: On-Device AI: What it is and do we need it? What no one’s talking about

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:50 Daily AI News
06:47 Discussion on need for wearable devices.
08:51 AI devices offer vision and conversation capabilities.
11:21 Wearables can record, take pictures, and assist.
16:48 Ray Bans can have a camera feature.
19:05 Negative reception for major AI gadget launch.
22:37 Using big company's technology to create startups.
24:09 Early AI SaaS companies mimic Apple's marketing.
28:54 Apple designer and generative AI join forces.
30:33 Big tech companies innovate devices, focus on optimization.
34:55 Encourage sharing and community building in AI.

Topics Covered in This Episode:
1. Evaluation of specific AI wearables
2. Concerns and skepticism about AI devices
3. Impact of big tech companies on AI devices
4. Debate about the functionality of AI devices

Keywords:
AI startups, Generative AI, GPU, Large Language Models, Meta, Google, Microsoft, Nvidia, VC, Private equity, AI wearables, Jordan Wilson, Johnny Ivy, Sam Altman, AI Hardware Company, Apple, Samsung, AI-powered devices, AI Pin, Rabbit r one, Ray Ban Meta Glasses, Limitless Pendant, OpenAI's GPT-4 API, Second Brains, Smartphone Integration, Clear lenses Ray-Ban, Humane AI Pin, AI Gadgets, AI Product Reviews, Index GPT

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

There's so much uncertainty with AI and what's coming next. How will LLMs and other forms of AI impact our business? What can we do to prepare? Luv Tulsidas, Founder and CEO of Techolution, joins us to discuss how you can secure your business future with AI.

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion:  Ask Jordan and Luv questions on AI

Related Episodes:
Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:30 Daily AI news
04:40 About Luv and Techolution
07:00 Shifting business focus to AI
10:49 Businesses seeking clarity on implementing generative AI.
14:35 Companies seek AI for personalized, brand-aligned conversation.
19:00 AI creates disruption, new jobs will emerge.
21:53 AI limited by internet knowledge, lacks human abilities.
25:15 Protecting proprietary AI, monetizing content, avoiding lawsuits.
27:34 Start with successful companies' AI transformation.
32:33 Ethical views vary in different economic systems.
36:00 AI impact on future: Innovation, adapt, bright.
38:44 AI should be done the right way.

Topics Covered in This Episode:
1. Pressure to Adopt AI in Businesses
2. Coping with Uncertain AI Environments
3. AI's Ethical Implications and Perspective on Job Protections
4. Balance and Ethical Consequences of AI Deployment
5. Future Shifts in Job Roles

Keywords:
AI in business, tech boom, practical AI solutions, FOMO in AI, large neural network models, domain-specific training, AI apprenticing, job protection, economic systems, Universal Basic Income, job layoffs, pursuing passions through AI, proprietary AI, Google and AI, data compensation, ethical AI, AI ROI, AI-generated business processes, AI and job losses, securing business future with AI, ad-funded AI chatbots, US government and AI, OpenAI's plans, artificial general intelligence, human jobs and AI, disruption of jobs by AI, problem-solving with AI, data quality in AI, AI and video content, large language models.

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Chances are, AI is already selling to you. And in the end, we're all in sales. (One way or another.) Find out from a seasoned sales pro how you can spend less time working and actually sell more. Might not add up, but it does when you know these AI sales secrets. Featuring Ryan Staley, CEO and Founder of Whale Boss.

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion:  Ask Jordan and Ryan questions on AI and sales

Related Episodes:
Ep 243: 5 Simple Ways To Use Generative AI Every Day
Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:50 Daily AI news
05:40 About Ryan and Whale Boss
07:43 Integrating AI in sales.
10:55 White collar work use tools, delegate to AI.
15:03 Generative AI saves time in sales processes.
18:30 AI integrates into sales, automating processes with oversight.
22:17 Built management system, tech stack, job description.
24:45 Strategies for content creation using Cast Magic.
29:22 Rapidly expanding tech tools; future sales changing?
33:06 Track and develop skills for transformation.

Topics Covered in This Episode:
1. Power and Potential of AI in Sales
2. AI Tools Used and Recommended
3. AI Skills Transformation

Keywords:
AI in sales, sales AI integration, AI training, AI-assimilation, AI-innovation, generative AI, micro tasks, large language models, sales call transcripts, AI sales preparation, knowledge workers, AI research tools, AI content creation, ChatGPT, Copilot, Cast Magic, Text Blaze, AI skill transformation, autonomous agents, AI-powered sales agents, human connection in sales, Jordan Wilson, Amazon AI assistant, GPT 2 chatbot, AI in non-selling activities, AI workflows, personalizing messaging, AI sales enablement tools, AI in sales strategy.

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Is the next version of ChatGPT already out? Many people are saying the just-released gpt2-chatbot is either ChatGPT 4.5 or ChatGPT 5 in the wild. So.... is it? We'll tell you what you need to know, break down the rumors and cut through the fluff.

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI

Related Episode:
Ep 248: Free ChatGPT vs. ChatGPT Plus – What’s the difference?

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:55 Daily AI news
07:31 LMSYS chatbot arena hosts large language models.
13:32 Sam Altman confirms GPT-2 model existence
17:16 Large language models require significant energy and funding.
20:54 Newer November version of GPT-3 confirmed.
23:51 Possible glimpse of future technology, notable improvements.
25:43 Large language models evolving to act as agents.
29:43 Text is currently only text-based, may change.
33:34 Recognizes OpenAI chatbot with GPT technology.

Topics Covered in This Episode:
1. GPT2- Chatbot functionality and limitations
2. Origin of the GPT2-Chatbot
3. Speculation around ChatGPT and GPT2- Chatbot
4. Forecasts for Future AI Models

Keywords:
Chatbot leaderboard, Elo scores, GPT 2 chatbot, limitations of GPT 2 chatbot, origin and ownership of GPT 2, generative AI models, future of AI usage, AI giveaway, AI newsletter, chatbot rankings, GPT 4 Turbo, Claude 3 Opus, Gemini from Google 1.5, large language models, Microsoft, Google, OpenAI, Meta, multimodal chatbot, parameters size of new model, Jordan Wilson, Med Gemini, Apple AI team, AI-generated disc track, live stream audience, chatbot arena website, energy consumption by large models, environmental concerns, problem-solving abilities of new model

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Is there a legit Sora competitor now? What does NVIDIA's $700 million acquisition mean for the GenAI world? Is Apple ditching Google and teaming up with OpenAI for future AI-powered iPhones? We'll answer those questions today and more with this week's AI News that Matters!

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI

Related Episodes:
Ep 211: OpenAI’s Sora – The larger impact that no one’s talking about
Ep 240: Latest Apple AI rumors, $100-billion Stargate partnership between Microsoft and OpenAI – AI News That Matters

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
03:17 AI video competitor for Sora
05:05 Discussion on OpenAI's Sora model and implications.
08:15 NVIDIA acquires Run:ai
10:55 Apple in talks with OpenAI
14:50 US government forms AI safety advisory panel.
20:12 Adobe incorporating new AI capabilities across platforms
25:00 Meta makes Ray Bans multimodal
26:30 Contest ends tonight, refer friends to enter.

Topics Covered in This Episode:
1. New Sora Competitor
2. Nvidia's Acquisition of Run;AI
3. Apple's AI Integration Plans
4. Advisory Panel on AI Security for Homeland
5. Adobe Photoshop's Generative Fill Feature

Keywords:
AI news, Sora, NVIDIA, acquisition, Apple, OpenAI, iPhone, AI video competitor, everyday AI, podcast, newsletter, Meta Ray Bans Smart Glasses, generative AI, Vidu, Sheng Shu AI, Tsinghua University, AI model, UVIT model, Run AI, AI infrastructure management, DGX Cloud AI platform, Google, Gemini model, large language model, Adobe, Firefly 3, Photoshop, AI regulations, AI safety.

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Do we want ChatGPT to remember everything about us? Or, is this a new ChatGPT solution looking for a problem? We're covering ChatGPT's new cross-chat memory feature and how it might change the way you prompt. (For better or worse.)
 
Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on ChatGPT

Related Episodes:
Ep 217: 7 Steps on How To ACTUALLY Use ChatGPT in 2024
Ep 246: No that’s not how ChatGPT works. A guide on who to trust around LLMs

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:55 Daily AI news
07:16 New ChatGPT memory feature
08:08 Large language models struggle with remembering conversations.
10:16 OpenAI posted about a new feature.
15:06 Training AI to generate personalized responses efficiently.
22:11 Temporary chats won't improve our GPT models.
24:29 Problematic chat behavior requires better AI training.
27:07 Custom instructions control informal tone and memory crossover.
30:23 New memory feature slowing down response times.
34:01 New memory feature works best with limits.
36:00 AI newsletter referral contest for Meta Ray-Ban glasses.

Topics Covered in This Episode:
1. ChatGPT’s New Memory Feature
2. Benefits and Drawbacks of the Memory Feature
3. Suggestions for Improving ChatGPT
4. Application and Actual Use

Keywords:
Temporary chat, UI, memory feature, ChatGPT, AI news, Elon Musk, XAI startup, AI podcast, AI newsletter, AI giveaway, smart glasses, Doctor Harvey Castro, Michael, YouTube, user engagement, memory management, corrections, Checkatrade, chat history, training data, profile improvements, referral contest, meta Ray Bans, OpenAI, paid users, settings, UI/UX improvement, auto-commit memory.

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

To celebrate our 1 year anniversary, we're going to take a step back to where it all began with episode one and answer the hard-hitting question that no one wants to talk about when it comes to AI and job displacement. Will AI take our jobs?

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI and jobs

Related Episodes:
Ep 222: The Dispersion of AI Jobs Across the U.S. – Why it matters
EP 1: Will AI Take Your Job?

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
02:00 Housekeeping items
05:00 Will AI take your job?
11:10 Generative AI advancing fast, concerns, hope remain.
15:46 2/3 jobs exposed to AI, 300M at risk.
23:26 False information spread by self-proclaimed influencers.
26:36 Smart people build AI, youth teach, AI superior.
36:26 Being creative involves processing past creativity for new ideas.
40:03 Generative AI now affordable, powerful, and reliable.
47:48 Facts presented: AI interest increasing in companies.
51:09 AI not always linked to increased employment.
58:14 OpenAI and Microsoft invest $100B in AI.
59:33 Smart software automates tasks with specialized models.
01:08:51 Workers are leaving big companies to start their own businesses due to AI.
01:09:45 Generative AI reshapes business and products.
01:16:40 Check out today's newsletter and enter giveaway.

Topics Covered in This Episode:
1. Current state of Artificial Intelligence
2. AI's impact on employment
3. Future of AI and jobs
4. The economics of AI
5. Misconceptions surrounding AI and jobs
6. AI in public and corporate view
7. Preparing for AI integration and job transpositions

Keywords:
Generative AI, AI affordability, AI accessibility, AI reliability, AI job impact, company layoffs, job automation, S&P 500, AI mentions in earnings calls, AI industry agents, OpenAI, Anthropic, Google, MetaLama, Cognition Labs, DeepMind, AI and knowledge work, domain-specific AI models, human intelligence and AI, AI democratization, AI exposure in jobs, AI impact on economy, AI and business survival, gig economy and AI, AI personalization, AI generalists, ongoing AI learning, AI giveaways, AI mentions in company earnings, AI expertise.

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

When we think recycling, we might think of plastics. Probably not Generative AI, right? Well, that's actually one of the ways that Lanzatech is fighting global warming -- by using Generative AI to help recycle carbon emissions.

How do they do it?
 
And how has Lanzatech created an internal Large Language Model that's giving them ridiculous in-office efficiencies?

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan and James questions on GenAI and recycling

Related Episode:
Ep 224: AI and its Impact on Society - How it might look

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:50 About James and Lanzatech
04:49 Using AI to engineer biology for refining.
09:47 Create biological language model to engineer microbes.
13:00 Misconception about value from large language models.
15:58 Importance of creating and using specialized models.
17:10 AI accelerates technology development, leading to efficiency.
22:09 AI enhances scientific experiments with human oversight.
24:32 Golden age of technology with AI excitement.

Topics Covered in This Episode:
1. About James Daniell and Lanzatech
2. How generative AI helps recycling
3. Use and benefits of AI within LanzaTech
4. Potential of GenAI solving environmental problems

Keywords:
Generative AI, science, biology, productivity, sales cover letter, bio companies, life science companies, impact, everyday AI, Jordan Wilson, artificial intelligence, computational biology, LanzaTech, climate change, fossil fuels, pollution, carbon, carbon recycling, microbes, emissions, carbon recycling technology, building block chemicals, fuels, products, transformer, Google, genetic engineering, trash into treasures, internal scientific knowledge base, intelligence amplification.

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Is this AI tool too good to be safe? Maybe.  We'll be taking a look at Microsoft's impressive VASA-1 deepfake cloning technology. 
We'll answer the important questions:
↳ What is this technology? 
↳ Why do we need it? 
↳ Is it so good that it's dangerous? 

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on Microsoft VASA-1

Related Episodes:
Ep 211: OpenAI’s Sora – The larger impact that no one’s talking about
Ep 157: Future of AI Video – Pika Labs 1.0, Runway updates, Meta Emu and more

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
01:20 Daily AI news
05:15 Is VASA-1 dangerous?
09:12 Potential dangers of AI outweigh potential benefits.
12:14 Voice inflection changes, impressive text to speech.
15:29 Generative content creation: impressive, concerning, and exciting.
18:54 Quickly scalable technology opens exciting possibilities but troubling.
21:23 Real-time face swapping with surprising computing power.
24:35 Realistic motion control, capturing human-like tendencies.
29:26 Use digital avatars for efficient training purposes.
30:16 Microsoft research paper VASA 1 creates human-like avatars.
34:20 Discussing generative AI's potential benefits versus risks.

Topics Covered in This Episode:
1. Explanation of VASA-1's capabilities
2. Concerns around Microsoft's VASA-1
3. Discussion on deepfakes
4. Potential Risks and Ethical Considerations
5. Potential Benefits and Positive Use Cases

Keywords:
Microsoft's VASA 1, deep fake model, Everyday AI, livestream podcast, AI news, Adobe, Photoshop, Google, DeepMind, Microsoft PHY 3 mini model, OpenAI's SoRUP, AI deepfakes, talking head images, Jordan Wilson, misinformation, disinformation, generative AI, AI's impact on jobs, lifelike talking faces, digital twin technology, AI avatar, AI-generated speech, Mona Lisa, Baidu's Emo, Synthesia, HeyGen, Hour 1, DID platform, training, personalized learning

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Will Meta's Llama 3 take the LLM crown? Is Microsoft's VASA-1 so good that it's dangerous? What does the new Atlas model from Boston Dynamics mean for the intersection of AI and robotics? We'll catch you up on all of that and more, with this week's AI News that matters.

Newsletter: Sign up for our free daily newsletter
More on this Episode: Episode Page
Join the discussion: Ask Jordan questions on AI

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: [email protected]
Connect with Jordan on LinkedIn

Timestamps:
02:20 New developments in Meta's llama.
05:03 Try Llama 3, important updates, December 2023.
08:30 Anthropic's models range from 8B to 400B parameters.
12:43 Artificial intelligence creates hyperrealistic talking head videos.
14:55 VESA 1 technology creates videos from one image and voice.
19:19 Boston Dynamics introduces electric Atlas robot model.
23:09 Next iPhone may partner with Google or OpenAI
26:40 Instagram post hints at Caitlin Clark's success.

Topics Covered in This Episode:
1. Introduction of Meta Llama 3
2. Microsoft's Introduction of VASA 1
3. Miscellaneous AI and Tech News

Keywords:
Jordan Wilson, Meta, Llama 3, Microsoft, visa 1, chat GPT 5, Meta AI, open model, closed source models, OpenAI, Google, public use, Facebook, knowledge cutoff, download, fork, benchmarking, parameters, model, Mark Zuckerberg, CEO, Google Gemini, Anthropic's Quad 3 OPUS, VASA 1, AI framework, hyperrealistic talking faces, lip syncing, AI-based movie making, Atlas robot, TED Talks.

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)